(Modern Applied Statistical Modeling and Computing I)
Office Hours: Wed - or by appointment
TA: Liwei Wang
Office hours: Tuesday 12:30 - 1:30pm
Wednesday 12:30 - 1:30pm
Location: Hill Center 555
Addtional office hours in the final week: To be updated
Prerequisite: Level IV statistics. Recommended 16:960:563, 16:960:582.
Methods of modern
data analysis with emphasis on
statistical computing. Topics include univariate
statistics, data visualization, linear models, generalized linear
Handout Examples (old files):
Course related notes:
Addiortnal Reading materials/notes:
c. SAS micro halfnorm from M. Friendly's webpage
the final project assignment, you are required to analyze one of your
own data sets (if you can identify one, and also please ask me for
aproval before you start your analysis) or a data set collected by Dr.
Hoover in his class on survey data
several years ago (The data set is protected, so we will provide
you the data only in our course Sakai site). Different from the
assignmentss, you need to (1) form your own questions, (2) try and
select statistical methodologies that are appropriate for the
particular data, (3) document your analysis and write a report
(including introduction/description of the data, the questions of
interest(aims, hypotheses, etc), models/methods used, analysis results,
and final conclusions). The final report is due on May 11 before the final exam, and it should not be longer than five pages (not including computing results/output).
The final exam is scheduled on May 11 from 6:40pm - 9:30pm at Hill Center 552. The exam is cumulative and coves all materials that we learn in the semester. It is a close book
exam, but you can bring with
you up to two pages of "cheating sheets". Also please bring with you
a calculator and nacessary probability talbles. Laptop computers are not allowed.